Method for intelligently acquiring physiological information in body sensor network

[0011] Specific implementation method

[0012] The method for intelligently collecting physiological information in the body area network of the present invention includes the following steps:

[0013] 1. The initial setting of the collection mode: The collected person enters his own life information and initializes the health level according to the initial setting, so as to set the collection mode of the collected person.

[0014] The health level is judged based on the dietary information, work and rest information, and historical disease information input by the collected person, and the collection mode of the collected person is selected according to the health level judgment.

[0015] The acquisition mode is roughly divided into four modes:

[0016] 1. Health mode: When the physiological information meets the physiological indicators of health in the medical sense, and the comparison and analysis with the self-specific physiological information collected in the past shows a regular biological cycle, then the system judges the current body area network collection mode as a healthy mode. At this level, only a small number of sensors that collect physiological information will be turned on, and a transmission method that requires less real-time signal transmission and less signal radiation will be used for data transmission, and only the periodic specific physiological information of the subject will be stored and updated.

[0017] 2. Sub-health mode: When the physiological information meets the general physiological indicators in the medical sense, but the biological cycle obtained by the comparative analysis is irregular, the system judges that the current body area network collection mode is sub-health mode. At this level, multiple sensors that collect physiological information are turned on, and the real-time performance is better; the transmission mode with less signal radiation is used for data transmission, and the health and physiological information of each sensor of the subject is stored and updated.

[0018] 3. Disease mode: When the physiological information does not meet the general physiological indicators in the medical sense, or is artificially calibrated as a disease by the user, and the disease information is input, the system determines that the current body area network collection mode is the disease mode. At this level, turn on all the sensors that collect physiological information related to the disease, and use a transmission method with strong real-time performance, less signal transmission delay, and higher signal transmission accuracy to transmit data, and record the disease characteristic information throughout the process Store, provide data for future disease diagnosis.

[0019] 4. Severe illness mode: When the physiological information deviates from the physiological indicators in the medical sense, or is manually marked as severe by the user, the system judges the current body area network collection mode as the severe illness mode. At this level, all sensors that collect physiological information are turned on, and industrial-grade transmission methods with good real-time performance, good signal transmission safety, and high transmission accuracy are used to transmit data, record and store disease characteristic information, and access the database. The content is updated.

[0020] 2. Collect physiological information: Collect physiological information of the subject according to the initial collection mode.

[0021] The importance of the collected physiological information is graded, and different grades are formulated according to the importance of different modes to the physiological information, and the distribution plan of body area network power supply and network information transmission is formulated according to the priority of physiological information and the priority of secondary collection to ensure Continuous and stable collection of important physiological information.

[0022] 1. In the health and sub-health modes, set the priority of pulse information that covers more personal health information to the highest, so as to control the health of the individual as a whole, and then collect multiple pulse information according to the pulse information. The continuity and stability requirements of the secondary pulse information collection priority classification. General physiological information such as blood pressure and body temperature are set as medium priority, and specific physiological information such as EEG and ECG can be used as selective and flexible low priority.

[0023] 2. In the disease and severe mode, the priority of the physiological information that mainly reflects the disease state is set to the highest. For example, for cardiovascular and cerebrovascular diseases, ECG, EEG and other specific physiological information are the main collected data, such as pulse, blood pressure, and body temperature. Information is set to low-medium priority.

[0024] 3. In all modes, the priority of a certain physiological information can be artificially set to formulate a body area network power supply and network information transmission strategy for a particular physiological information collection.

[0025] 3. Static analysis of physiological information: analyze the collected physiological information and compare it with the data in the existing physiological information database to determine the collection level of the person being collected at the current stage, and at the same time compare the data in the physiological information database Perform expansion updates.

[0026] For the collected personal pulse information, the classical time-frequency domain analysis method is used to analyze personal health physiological information, the pulse based on wavelet transform theory, the heart and brain signal processing algorithm are studied, and the ICA (independent component analysis) method is used to extract the lesion information. For some non-stationary signals such as human health physiological signals, (such as brain electrical signals, which are widely used in brain science and cognitive science), testing and estimation theories are used to analyze physiological conditions and behavior patterns. And with the analysis result data in the existing physiological information database according to different types of physiological conditions, if an obvious difference is found, the expert system or doctor will change the collection level of the person to be collected, and at the same time record the difference data, and reorganize the information The data in the database is expanded and updated.

[0027] 4. Physiological information dynamic analysis: compare and analyze the difference between the collected physiological information and the physiological information collected at the previous moment, and obtain the real-time information changes of the collected person.

[0028] For the analysis in the method in step three, the collected physiological information is processed by the above analysis and processing method, and then the basic curve difference comparison and curve average comparison are carried out with the physiological information data result collected at the previous moment. To respond to sudden changes in the real-time information of the user, the acquisition mode will be upgraded to a level within a period of time. This period of time can be set arbitrarily from 1 to 60 minutes.

[0029] 5. Collection mode reset: Set the collection mode according to the static analysis result of physiological information, and set the method of collecting physiological information and the static analysis update cycle according to the dynamic analysis result.

[0030] Process as in step three and step four.